OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77408 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8415, kappa: 0.6743, kb_relative_information_score: 20866.7316, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8425, prior_entropy: 0.9835, recall: 0.8425, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6975, scimark_benchmark: 1252.2621, usercpu_time_millis: 606.981, usercpu_time_millis_testing: 44.089, usercpu_time_millis_training: 562.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8486, kappa: 0.6891, kb_relative_information_score: 21450.4944, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8493, predictive_accuracy: 0.8494, prior_entropy: 0.9835, recall: 0.8494, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6859, scimark_benchmark: 1253.5286, usercpu_time_millis: 938.903, usercpu_time_millis_testing: 59.582, usercpu_time_millis_training: 879.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8714, kappa: 0.7364, kb_relative_information_score: 26422.8198, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8714, predictive_accuracy: 0.8717, prior_entropy: 0.9835, recall: 0.8717, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6213, scimark_benchmark: 1259.5713, usercpu_time_millis: 1004.424, usercpu_time_millis_testing: 59.907, usercpu_time_millis_training: 944.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8502, kappa: 0.6925, kb_relative_information_score: 23866.5151, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8505, predictive_accuracy: 0.8508, prior_entropy: 0.9835, recall: 0.8508, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.662, scimark_benchmark: 1252.4765, usercpu_time_millis: 1693.993, usercpu_time_millis_testing: 85.547, usercpu_time_millis_training: 1608.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8227, kappa: 0.6355, kb_relative_information_score: 23497.6177, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9835, recall: 0.824, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7129, scimark_benchmark: 1315.3345, usercpu_time_millis: 13135.776, usercpu_time_millis_testing: 39.703, usercpu_time_millis_training: 13096.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8445, kappa: 0.6809, kb_relative_information_score: 23981.7972, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8447, predictive_accuracy: 0.8451, prior_entropy: 0.9835, recall: 0.8451, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6697, scimark_benchmark: 1247.5216, usercpu_time_millis: 1224.959, usercpu_time_millis_testing: 57.162, usercpu_time_millis_training: 1167.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8192, kappa: 0.629, kb_relative_information_score: 21509.0021, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8193, predictive_accuracy: 0.8198, prior_entropy: 0.9835, recall: 0.8198, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7208, scimark_benchmark: 1256.8758, usercpu_time_millis: 1598.94, usercpu_time_millis_testing: 90.06, usercpu_time_millis_training: 1508.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8686, kappa: 0.7309, kb_relative_information_score: 27565.3653, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8686, predictive_accuracy: 0.8688, prior_entropy: 0.9835, recall: 0.8688, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6217, scimark_benchmark: 1252.2187, usercpu_time_millis: 4014.578, usercpu_time_millis_testing: 79.001, usercpu_time_millis_training: 3935.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8622, kappa: 0.7174, kb_relative_information_score: 25887.3556, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8622, predictive_accuracy: 0.8625, prior_entropy: 0.9835, recall: 0.8625, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6359, scimark_benchmark: 1244.9771, usercpu_time_millis: 2122.201, usercpu_time_millis_testing: 93.821, usercpu_time_millis_training: 2028.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8505, kappa: 0.6933, kb_relative_information_score: 24672.5725, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8506, predictive_accuracy: 0.8509, prior_entropy: 0.9835, recall: 0.8509, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6584, scimark_benchmark: 1253.3606, usercpu_time_millis: 2111.357, usercpu_time_millis_testing: 115.654, usercpu_time_millis_training: 1995.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7716, kappa: 0.5299, kb_relative_information_score: 16977.9879, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7766, predictive_accuracy: 0.7755, prior_entropy: 0.9835, recall: 0.7755, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8046, scimark_benchmark: 1297.3251, usercpu_time_millis: 6806.993, usercpu_time_millis_testing: 35.047, usercpu_time_millis_training: 6771.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8377, kappa: 0.6667, kb_relative_information_score: 22954.1079, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8379, predictive_accuracy: 0.8383, prior_entropy: 0.9835, recall: 0.8383, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6857, scimark_benchmark: 1246.4224, usercpu_time_millis: 1091.136, usercpu_time_millis_testing: 47.576, usercpu_time_millis_training: 1043.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8557, kappa: 0.704, kb_relative_information_score: 25556.141, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8557, predictive_accuracy: 0.8561, prior_entropy: 0.9835, recall: 0.8561, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6475, scimark_benchmark: 1241.9395, usercpu_time_millis: 2628.214, usercpu_time_millis_testing: 80.336, usercpu_time_millis_training: 2547.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.7957, kappa: 0.5794, kb_relative_information_score: 16365.8403, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8031, predictive_accuracy: 0.7997, prior_entropy: 0.9835, recall: 0.7997, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7723, scimark_benchmark: 1253.5587, usercpu_time_millis: 301.877, usercpu_time_millis_testing: 23.824, usercpu_time_millis_training: 278.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8306, kappa: 0.6524, kb_relative_information_score: 22950.076, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8306, predictive_accuracy: 0.8311, prior_entropy: 0.9835, recall: 0.8311, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.697, scimark_benchmark: 1246.3841, usercpu_time_millis: 1956.122, usercpu_time_millis_testing: 115.118, usercpu_time_millis_training: 1841.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8963, kappa: 0.7876, kb_relative_information_score: 29539.0999, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8963, predictive_accuracy: 0.8964, prior_entropy: 0.9835, recall: 0.8964, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.565, scimark_benchmark: 1246.2079, usercpu_time_millis: 3107.278, usercpu_time_millis_testing: 64.131, usercpu_time_millis_training: 3043.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7995, kappa: 0.5873, kb_relative_information_score: 16771.9278, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8059, predictive_accuracy: 0.8031, prior_entropy: 0.9835, recall: 0.8031, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7669, scimark_benchmark: 1260.0918, usercpu_time_millis: 960.115, usercpu_time_millis_testing: 98.751, usercpu_time_millis_training: 861.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8476, kappa: 0.6873, kb_relative_information_score: 24439.2169, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8477, predictive_accuracy: 0.8481, prior_entropy: 0.9835, recall: 0.8481, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6638, scimark_benchmark: 1246.8915, usercpu_time_millis: 3637.053, usercpu_time_millis_testing: 121.401, usercpu_time_millis_training: 3515.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8279, kappa: 0.6466, kb_relative_information_score: 22210.8943, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8282, predictive_accuracy: 0.8287, prior_entropy: 0.9835, recall: 0.8287, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.703, scimark_benchmark: 1240.3219, usercpu_time_millis: 540.482, usercpu_time_millis_testing: 27.338, usercpu_time_millis_training: 513.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8624, kappa: 0.7178, kb_relative_information_score: 26139.2642, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8623, predictive_accuracy: 0.8626, prior_entropy: 0.9835, recall: 0.8626, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6344, scimark_benchmark: 1250.5272, usercpu_time_millis: 2503.566, usercpu_time_millis_testing: 74.627, usercpu_time_millis_training: 2428.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8554, kappa: 0.7035, kb_relative_information_score: 25396.8152, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8554, predictive_accuracy: 0.8558, prior_entropy: 0.9835, recall: 0.8558, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6471, scimark_benchmark: 1233.6105, usercpu_time_millis: 4620.746, usercpu_time_millis_testing: 136.171, usercpu_time_millis_training: 4484.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8642, kappa: 0.7215, kb_relative_information_score: 26026.2968, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8641, predictive_accuracy: 0.8644, prior_entropy: 0.9835, recall: 0.8644, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6329, scimark_benchmark: 1260.5083, usercpu_time_millis: 1426.083, usercpu_time_millis_testing: 74.622, usercpu_time_millis_training: 1351.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.917, kappa: 0.83, kb_relative_information_score: 32563.7924, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.917, predictive_accuracy: 0.917, prior_entropy: 0.9835, recall: 0.917, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5086, scimark_benchmark: 1253.7264, usercpu_time_millis: 170.813, usercpu_time_millis_testing: 5.586, usercpu_time_millis_training: 165.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8506, kappa: 0.6933, kb_relative_information_score: 24345.7737, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8509, predictive_accuracy: 0.8512, prior_entropy: 0.9835, recall: 0.8512, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6592, scimark_benchmark: 1247.8944, usercpu_time_millis: 227.39, usercpu_time_millis_testing: 14.686, usercpu_time_millis_training: 212.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8673, kappa: 0.7278, kb_relative_information_score: 26203.7376, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8673, predictive_accuracy: 0.8676, prior_entropy: 0.9835, recall: 0.8676, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6272, scimark_benchmark: 1244.2022, usercpu_time_millis: 1936.886, usercpu_time_millis_testing: 61.86, usercpu_time_millis_training: 1875.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7878, kappa: 0.5633, kb_relative_information_score: 17892.0952, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7965, predictive_accuracy: 0.7924, prior_entropy: 0.9835, recall: 0.7924, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7687, scimark_benchmark: 1252.4625, usercpu_time_millis: 708.219, usercpu_time_millis_testing: 60.569, usercpu_time_millis_training: 647.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8491, kappa: 0.69, kb_relative_information_score: 21450.879, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8497, predictive_accuracy: 0.8499, prior_entropy: 0.9835, recall: 0.8499, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6858, scimark_benchmark: 1240.1768, usercpu_time_millis: 558.865, usercpu_time_millis_testing: 40.66, usercpu_time_millis_training: 518.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.849, kappa: 0.6899, kb_relative_information_score: 21390.4203, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9835, recall: 0.8498, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6868, scimark_benchmark: 1256.3734, usercpu_time_millis: 234.216, usercpu_time_millis_testing: 14.148, usercpu_time_millis_training: 220.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9106, kappa: 0.817, kb_relative_information_score: 31065.2804, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9106, predictive_accuracy: 0.9107, prior_entropy: 0.9835, recall: 0.9107, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5317, scimark_benchmark: 1251.6999, usercpu_time_millis: 1360.396, usercpu_time_millis_testing: 40.289, usercpu_time_millis_training: 1320.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.852, kappa: 0.696, kb_relative_information_score: 21785.4833, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8527, predictive_accuracy: 0.8528, prior_entropy: 0.9835, recall: 0.8528, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6802, scimark_benchmark: 1260.3846, usercpu_time_millis: 434.49, usercpu_time_millis_testing: 39.66, usercpu_time_millis_training: 394.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8398, kappa: 0.6712, kb_relative_information_score: 23400.6299, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8398, predictive_accuracy: 0.8403, prior_entropy: 0.9835, recall: 0.8403, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6815, scimark_benchmark: 1250.9585, usercpu_time_millis: 2795.726, usercpu_time_millis_testing: 109.366, usercpu_time_millis_training: 2686.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7824, kappa: 0.5521, kb_relative_information_score: 16685.5024, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7899, predictive_accuracy: 0.7869, prior_entropy: 0.9835, recall: 0.7869, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7958, scimark_benchmark: 1319.4838, usercpu_time_millis: 5866.341, usercpu_time_millis_testing: 31.847, usercpu_time_millis_training: 5834.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8426, kappa: 0.6768, kb_relative_information_score: 23008.3025, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.678, scimark_benchmark: 1246.8341, usercpu_time_millis: 939.43, usercpu_time_millis_testing: 46.085, usercpu_time_millis_training: 893.345,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.855, kappa: 0.7026, kb_relative_information_score: 25158.2994, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8551, predictive_accuracy: 0.8554, prior_entropy: 0.9835, recall: 0.8554, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6478, scimark_benchmark: 1247.4226, usercpu_time_millis: 3916.94, usercpu_time_millis_testing: 143.218, usercpu_time_millis_training: 3773.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8486, kappa: 0.6894, kb_relative_information_score: 24712.5726, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8486, predictive_accuracy: 0.849, prior_entropy: 0.9835, recall: 0.849, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6613, scimark_benchmark: 1236.1095, usercpu_time_millis: 278.489, usercpu_time_millis_testing: 10.812, usercpu_time_millis_training: 267.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8562, kappa: 0.705, kb_relative_information_score: 25580.7385, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8562, predictive_accuracy: 0.8565, prior_entropy: 0.9835, recall: 0.8565, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6467, scimark_benchmark: 1246.4761, usercpu_time_millis: 130.653, usercpu_time_millis_testing: 3.449, usercpu_time_millis_training: 127.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8949, kappa: 0.7846, kb_relative_information_score: 28631.0258, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8949, predictive_accuracy: 0.8951, prior_entropy: 0.9835, recall: 0.8951, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5732, scimark_benchmark: 1254.4801, usercpu_time_millis: 1044.951, usercpu_time_millis_testing: 34.65, usercpu_time_millis_training: 1010.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8211, kappa: 0.6326, kb_relative_information_score: 21264.3949, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8215, predictive_accuracy: 0.8221, prior_entropy: 0.9835, recall: 0.8221, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7194, scimark_benchmark: 1257.6341, usercpu_time_millis: 907.082, usercpu_time_millis_testing: 61.117, usercpu_time_millis_training: 845.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6784, kb_relative_information_score: 24146.9507, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8435, prior_entropy: 0.9835, recall: 0.8435, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6753, scimark_benchmark: 1208.2774, usercpu_time_millis: 2609.533, usercpu_time_millis_testing: 107.24, usercpu_time_millis_training: 2502.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8531, kappa: 0.6989, kb_relative_information_score: 25328.9755, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8531, predictive_accuracy: 0.8535, prior_entropy: 0.9835, recall: 0.8535, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.653, scimark_benchmark: 1230.3126, usercpu_time_millis: 103.201, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 99.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.852, kappa: 0.6966, kb_relative_information_score: 25667.8015, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.852, predictive_accuracy: 0.8524, prior_entropy: 0.9835, recall: 0.8524, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.655, scimark_benchmark: 1244.057, usercpu_time_millis: 4044.328, usercpu_time_millis_testing: 100.977, usercpu_time_millis_training: 3943.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8362, kappa: 0.6638, kb_relative_information_score: 23004.7665, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8363, predictive_accuracy: 0.8368, prior_entropy: 0.9835, recall: 0.8368, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6884, scimark_benchmark: 1253.406, usercpu_time_millis: 505.481, usercpu_time_millis_testing: 22.395, usercpu_time_millis_training: 483.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8278, kappa: 0.6462, kb_relative_information_score: 21878.3473, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8283, predictive_accuracy: 0.8287, prior_entropy: 0.9835, recall: 0.8287, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7049, scimark_benchmark: 1252.2826, usercpu_time_millis: 1765.244, usercpu_time_millis_testing: 90.555, usercpu_time_millis_training: 1674.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8584, kappa: 0.7095, kb_relative_information_score: 25813.4897, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8584, predictive_accuracy: 0.8587, prior_entropy: 0.9835, recall: 0.8587, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6438, scimark_benchmark: 1255.6143, usercpu_time_millis: 2058.057, usercpu_time_millis_testing: 57.488, usercpu_time_millis_training: 2000.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8345, kappa: 0.6602, kb_relative_information_score: 22878.1998, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8347, predictive_accuracy: 0.8351, prior_entropy: 0.9835, recall: 0.8351, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6905, scimark_benchmark: 1238.1817, usercpu_time_millis: 2105.073, usercpu_time_millis_testing: 106.264, usercpu_time_millis_training: 1998.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.912, kappa: 0.8197, kb_relative_information_score: 31415.8204, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.912, predictive_accuracy: 0.9121, prior_entropy: 0.9835, recall: 0.9121, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5251, scimark_benchmark: 1245.4712, usercpu_time_millis: 439.114, usercpu_time_millis_testing: 11.958, usercpu_time_millis_training: 427.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8234, kappa: 0.6367, kb_relative_information_score: 18980.6582, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8258, predictive_accuracy: 0.8252, prior_entropy: 0.9835, recall: 0.8252, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7305, scimark_benchmark: 1247.5337, usercpu_time_millis: 285.338, usercpu_time_millis_testing: 17.665, usercpu_time_millis_training: 267.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8461, kappa: 0.6844, kb_relative_information_score: 24368.5535, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8461, predictive_accuracy: 0.8465, prior_entropy: 0.9835, recall: 0.8465, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6671, scimark_benchmark: 1252.4722, usercpu_time_millis: 3682.984, usercpu_time_millis_testing: 117.678, usercpu_time_millis_training: 3565.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8294, kappa: 0.6498, kb_relative_information_score: 22526.7607, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8296, predictive_accuracy: 0.8301, prior_entropy: 0.9835, recall: 0.8301, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6998, scimark_benchmark: 1244.3795, usercpu_time_millis: 1394.736, usercpu_time_millis_testing: 96.508, usercpu_time_millis_training: 1298.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8372, kappa: 0.6656, kb_relative_information_score: 22465.2707, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8377, predictive_accuracy: 0.8381, prior_entropy: 0.9835, recall: 0.8381, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6879, scimark_benchmark: 1255.5237, usercpu_time_millis: 1684.801, usercpu_time_millis_testing: 87.074, usercpu_time_millis_training: 1597.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8836, kappa: 0.7616, kb_relative_information_score: 28029.6476, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8836, predictive_accuracy: 0.8838, prior_entropy: 0.9835, recall: 0.8838, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.5965, scimark_benchmark: 1250.5985, usercpu_time_millis: 2667.329, usercpu_time_millis_testing: 73.738, usercpu_time_millis_training: 2593.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8337, kappa: 0.6586, kb_relative_information_score: 22625.6122, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8341, predictive_accuracy: 0.8345, prior_entropy: 0.9835, recall: 0.8345, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6916, scimark_benchmark: 1240.5742, usercpu_time_millis: 339.371, usercpu_time_millis_testing: 15.652, usercpu_time_millis_training: 323.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8987, kappa: 0.7925, kb_relative_information_score: 30244.7339, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8987, predictive_accuracy: 0.8988, prior_entropy: 0.9835, recall: 0.8988, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5573, scimark_benchmark: 1254.9881, usercpu_time_millis: 87.502, usercpu_time_millis_testing: 2.038, usercpu_time_millis_training: 85.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.814, kappa: 0.6174, kb_relative_information_score: 19708.938, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8165, predictive_accuracy: 0.816, prior_entropy: 0.9835, recall: 0.816, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7353, scimark_benchmark: 1242.7429, usercpu_time_millis: 839.825, usercpu_time_millis_testing: 55.768, usercpu_time_millis_training: 784.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8559, kappa: 0.7044, kb_relative_information_score: 25322.6993, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8559, predictive_accuracy: 0.8563, prior_entropy: 0.9835, recall: 0.8563, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6462, scimark_benchmark: 1241.0689, usercpu_time_millis: 1735.1, usercpu_time_millis_testing: 74.671, usercpu_time_millis_training: 1660.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4999, kb_relative_information_score: 15921.5732, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1317.6559, usercpu_time_millis: 7079.484, usercpu_time_millis_testing: 26.613, usercpu_time_millis_training: 7052.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8474, kappa: 0.6867, kb_relative_information_score: 23489.4332, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8478, predictive_accuracy: 0.8481, prior_entropy: 0.9835, recall: 0.8481, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6691, scimark_benchmark: 1252.383, usercpu_time_millis: 1412.713, usercpu_time_millis_testing: 76.552, usercpu_time_millis_training: 1336.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7482, kappa: 0.4862, kb_relative_information_score: 11783.6798, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7809, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8375, scimark_benchmark: 1290.3248, usercpu_time_millis: 12514.702, usercpu_time_millis_testing: 26.794, usercpu_time_millis_training: 12487.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7826, kappa: 0.5528, kb_relative_information_score: 15024.0492, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7941, predictive_accuracy: 0.7882, prior_entropy: 0.9835, recall: 0.7882, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7919, scimark_benchmark: 1244.1863, usercpu_time_millis: 152.982, usercpu_time_millis_testing: 12.323, usercpu_time_millis_training: 140.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8197, kappa: 0.6298, kb_relative_information_score: 21570.6886, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8198, predictive_accuracy: 0.8204, prior_entropy: 0.9835, recall: 0.8204, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7174, scimark_benchmark: 1246.8932, usercpu_time_millis: 988.123, usercpu_time_millis_testing: 45.388, usercpu_time_millis_training: 942.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.7986, kappa: 0.5855, kb_relative_information_score: 16727.9125, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8054, predictive_accuracy: 0.8023, prior_entropy: 0.9835, recall: 0.8023, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7675, scimark_benchmark: 1260.2124, usercpu_time_millis: 351.647, usercpu_time_millis_testing: 28.958, usercpu_time_millis_training: 322.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.757, kappa: 0.4998, kb_relative_information_score: 15914.1046, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1290.9912, usercpu_time_millis: 9856.546, usercpu_time_millis_testing: 26.439, usercpu_time_millis_training: 9830.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8416, kappa: 0.6751, kb_relative_information_score: 23844.8543, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8416, predictive_accuracy: 0.8421, prior_entropy: 0.9835, recall: 0.8421, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6777, scimark_benchmark: 1242.9658, usercpu_time_millis: 1662.295, usercpu_time_millis_testing: 57.643, usercpu_time_millis_training: 1604.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8701, kappa: 0.7336, kb_relative_information_score: 26142.1744, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8703, predictive_accuracy: 0.8705, prior_entropy: 0.9835, recall: 0.8705, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.622, scimark_benchmark: 1250.7737, usercpu_time_millis: 54.915, usercpu_time_millis_testing: 2.786, usercpu_time_millis_training: 52.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8317, kappa: 0.6548, kb_relative_information_score: 23205.8045, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8317, predictive_accuracy: 0.8322, prior_entropy: 0.9835, recall: 0.8322, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6938, scimark_benchmark: 1243.5388, usercpu_time_millis: 1163.823, usercpu_time_millis_testing: 53.454, usercpu_time_millis_training: 1110.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8185, kappa: 0.6274, kb_relative_information_score: 21240.8008, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8187, predictive_accuracy: 0.8193, prior_entropy: 0.9835, recall: 0.8193, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7229, scimark_benchmark: 1255.7647, usercpu_time_millis: 423.431, usercpu_time_millis_testing: 24.736, usercpu_time_millis_training: 398.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8838, kappa: 0.7619, kb_relative_information_score: 27833.9737, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9835, recall: 0.884, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.597, scimark_benchmark: 1248.0221, usercpu_time_millis: 334.273, usercpu_time_millis_testing: 11.452, usercpu_time_millis_training: 322.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.855, kappa: 0.7025, kb_relative_information_score: 25046.9045, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8551, predictive_accuracy: 0.8555, prior_entropy: 0.9835, recall: 0.8555, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6488, scimark_benchmark: 1222.4416, usercpu_time_millis: 1991.342, usercpu_time_millis_testing: 99.607, usercpu_time_millis_training: 1891.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8307, kappa: 0.6528, kb_relative_information_score: 22984.9247, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8307, predictive_accuracy: 0.8312, prior_entropy: 0.9835, recall: 0.8312, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6971, scimark_benchmark: 1248.4803, usercpu_time_millis: 2022.583, usercpu_time_millis_testing: 98.088, usercpu_time_millis_training: 1924.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8567, kappa: 0.7062, kb_relative_information_score: 25420.477, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8567, predictive_accuracy: 0.8571, prior_entropy: 0.9835, recall: 0.8571, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6453, scimark_benchmark: 1238.4033, usercpu_time_millis: 1166.747, usercpu_time_millis_testing: 58.595, usercpu_time_millis_training: 1108.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7569, kappa: 0.4996, kb_relative_information_score: 15930.088, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1283.0012, usercpu_time_millis: 4560.238, usercpu_time_millis_testing: 25.503, usercpu_time_millis_training: 4534.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8737, kappa: 0.7413, kb_relative_information_score: 27032.3767, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8737, predictive_accuracy: 0.8739, prior_entropy: 0.9835, recall: 0.8739, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6162, scimark_benchmark: 1246.3269, usercpu_time_millis: 1336.484, usercpu_time_millis_testing: 47.721, usercpu_time_millis_training: 1288.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8351, kappa: 0.6611, kb_relative_information_score: 20191.9649, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8364, predictive_accuracy: 0.8363, prior_entropy: 0.9835, recall: 0.8363, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.709, scimark_benchmark: 1237.1566, usercpu_time_millis: 317.377, usercpu_time_millis_testing: 20.142, usercpu_time_millis_training: 297.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8822, kappa: 0.7584, kb_relative_information_score: 27212.9208, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8823, predictive_accuracy: 0.8825, prior_entropy: 0.9835, recall: 0.8825, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.6003, scimark_benchmark: 1224.9899, usercpu_time_millis: 512.144, usercpu_time_millis_testing: 30.72, usercpu_time_millis_training: 481.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8646, kappa: 0.7224, kb_relative_information_score: 26296.108, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8646, predictive_accuracy: 0.8649, prior_entropy: 0.9835, recall: 0.8649, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6321, scimark_benchmark: 1241.6114, usercpu_time_millis: 1038.523, usercpu_time_millis_testing: 24.384, usercpu_time_millis_training: 1014.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8234, kappa: 0.6377, kb_relative_information_score: 22356.1087, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8234, predictive_accuracy: 0.8239, prior_entropy: 0.9835, recall: 0.8239, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7103, scimark_benchmark: 1246.5301, usercpu_time_millis: 1834.676, usercpu_time_millis_testing: 86.088, usercpu_time_millis_training: 1748.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8974, kappa: 0.7898, kb_relative_information_score: 29526.4892, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8973, predictive_accuracy: 0.8975, prior_entropy: 0.9835, recall: 0.8975, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5628, scimark_benchmark: 1246.3072, usercpu_time_millis: 930.671, usercpu_time_millis_testing: 26.427, usercpu_time_millis_training: 904.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7767, kappa: 0.5404, kb_relative_information_score: 17876.8513, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.781, predictive_accuracy: 0.7802, prior_entropy: 0.9835, recall: 0.7802, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7947, scimark_benchmark: 1281.8576, usercpu_time_millis: 5769.905, usercpu_time_millis_testing: 31.499, usercpu_time_millis_training: 5738.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7962, kappa: 0.581, kb_relative_information_score: 19801.0291, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7978, predictive_accuracy: 0.7981, prior_entropy: 0.9835, recall: 0.7981, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7642, scimark_benchmark: 1278.0723, usercpu_time_millis: 6016.293, usercpu_time_millis_testing: 26.951, usercpu_time_millis_training: 5989.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8595, kappa: 0.7116, kb_relative_information_score: 24583.3678, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9835, recall: 0.86, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6466, scimark_benchmark: 1255.0462, usercpu_time_millis: 202.183, usercpu_time_millis_testing: 17.062, usercpu_time_millis_training: 185.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7992, kappa: 0.5867, kb_relative_information_score: 16655.1245, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8058, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7681, scimark_benchmark: 1250.8616, usercpu_time_millis: 658.192, usercpu_time_millis_testing: 55.407, usercpu_time_millis_training: 602.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7569, kappa: 0.4996, kb_relative_information_score: 15970.3919, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8218, scimark_benchmark: 1282.1684, usercpu_time_millis: 4747.068, usercpu_time_millis_testing: 26.56, usercpu_time_millis_training: 4720.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9067, kappa: 0.8089, kb_relative_information_score: 30488.9904, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9067, predictive_accuracy: 0.9068, prior_entropy: 0.9835, recall: 0.9068, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.541, scimark_benchmark: 1232.1663, usercpu_time_millis: 420.041, usercpu_time_millis_testing: 19.074, usercpu_time_millis_training: 400.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8307, kappa: 0.6525, kb_relative_information_score: 22948.5553, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8308, predictive_accuracy: 0.8313, prior_entropy: 0.9835, recall: 0.8313, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6975, scimark_benchmark: 1241.358, usercpu_time_millis: 438.854, usercpu_time_millis_testing: 15.358, usercpu_time_millis_training: 423.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8504, kappa: 0.6928, kb_relative_information_score: 21624.4813, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8511, predictive_accuracy: 0.8512, prior_entropy: 0.9835, recall: 0.8512, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.683, scimark_benchmark: 1250.5775, usercpu_time_millis: 478.889, usercpu_time_millis_testing: 38.761, usercpu_time_millis_training: 440.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.868, kappa: 0.7294, kb_relative_information_score: 0.5901, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8679, predictive_accuracy: 0.8682, prior_entropy: 0.9835, recall: 0.8682, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9192, kappa: 0.8346, kb_relative_information_score: 0.7302, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9835, recall: 0.9192, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.6891, kappa: 0.374, kb_relative_information_score: 0.3244, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6981, predictive_accuracy: 0.6873, prior_entropy: 0.9835, recall: 0.6873, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.1011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8498, kappa: 0.6919, kb_relative_information_score: 0.55, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8499, predictive_accuracy: 0.8502, prior_entropy: 0.9835, recall: 0.8502, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8781, kappa: 0.7504, kb_relative_information_score: 0.6137, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8781, predictive_accuracy: 0.8783, prior_entropy: 0.9835, recall: 0.8783, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8575, kappa: 0.708, kb_relative_information_score: 0.5784, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8574, predictive_accuracy: 0.8577, prior_entropy: 0.9835, recall: 0.8577, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8185, kappa: 0.6266, kb_relative_information_score: 0.4555, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8209, predictive_accuracy: 0.8204, prior_entropy: 0.9835, recall: 0.8204, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7524, kappa: 0.4914, kb_relative_information_score: 0.3199, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7604, prior_entropy: 0.9835, recall: 0.7604, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8899, kappa: 0.7746, kb_relative_information_score: 0.6661, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 0.9835, recall: 0.89, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.7566, kappa: 0.5045, kb_relative_information_score: 0.1708, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.797, predictive_accuracy: 0.7707, prior_entropy: 0.9835, recall: 0.7707, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9448, kappa: 0.887, kb_relative_information_score: 0.8408, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9448, predictive_accuracy: 0.9448, prior_entropy: 0.9835, recall: 0.9448, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.864, kappa: 0.7212, kb_relative_information_score: 0.5891, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.864, predictive_accuracy: 0.8643, prior_entropy: 0.9835, recall: 0.8643, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9401, kappa: 0.8774, kb_relative_information_score: 0.8094, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 0.9835, recall: 0.9401, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8392, kappa: 0.67, kb_relative_information_score: 0.5462, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8392, predictive_accuracy: 0.8397, prior_entropy: 0.9835, recall: 0.8397, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6799,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs